搜索资源列表
-
0下载：
-
-
0下载：
Power consumption is an important design criterion in
the design of wireless sensor networks. Hybrid radio
frequency/free space optical wireless sensor networks (RF/FSO
WSN) have been proposed to reduce the energy consumption of
traditional R
-
-
0下载：
关于现有的基于WLAN，蓝牙以及RFID等的定位算法的综述和系统比较。是content-aware下的新兴的应用领域，有很大发展空间-Location, Localization, and Localizability
Location-aware technology spawns numerous unforeseen pervasive applications in a wide range of living, pro-
duction, commence, and publi
-
-
1下载：
论文 在使用无线传感器网络进行目标检测时,如何布置尽可能少的传感器节点而同时实现高的正确检测概率和
低的误警率,是关键问题之一。采用数据融合技术,能实现传感器节点之间的协同,从而大幅提高目标检测精度。提
出了用于目标检测的精度模型,分析了数据融合半径与传感器节点密度之间的关系,设计聚类方法将目标点组织成布
置单元,从高密度单元到低密度单元布置传感器节点覆盖目标区域。仿真结果表明,算法在保证检测精度的同时能有
效减少所使用的传感器节点数目。
-
Sensor placeme
-
-
0下载：
LEACH (Low Energy Adaptive Clustering Hierarchy) is designed for sensor networks where an end-user wants to remotely monitor the environment. In such a situation, the data from the individual nodes must be sent to a central base station, often locate
-
-
0下载：
LEACH (Low Energy Adaptive Clustering Hierarchy) is designed for sensor networks where an end-user wants to remotely monitor the environment. In such a situation, the data from the individual nodes must be sent to a central base station, often locate
-
-
0下载：
无线传感器网络LEACH路由算法Matlab仿真程序，包括簇首选择、成簇、数据传输、计算节点能耗和网络寿命-LEACH wireless sensor network routing algorithm Matlab simulation program, including the cluster head selection, clustering, data transmission, the compute node energy consumption and network life
-
-
1下载：
Wireless sensor networks are composed of a large number of disposable wireless sensors that collect information about their surrounding environment and transmit them to the end user. Because these sensors do not have rechargeable batteries, increasin
-
-
0下载：
到达过程是的泊松过程，外文资料里面的源代码，关于神经网络控制，欢迎大家下载学习，虚拟力的无线传感网络覆盖，可实现对二维数据的聚类，车牌识别定位程序的部分功能。- Arrival process is a Poisson process, Foreign materials inside the source code, On neural network control, Welcome to download the study, Virtual power wireless sensor n
-
-
0下载：
在matlab R2009b调试通过，调试通过可以使用，基于欧几里得距离的聚类分析，实现串口的数据采集，虚拟力的无线传感网络覆盖，主要为数据分析和统计，Relief计算分类权重。- In matlab R2009b debugging through, Debugging can be used, Clustering analysis based on Euclidean distance, Achieve serial data acquisition, Virtual power wire
-
-
0下载：
虚拟力的无线传感网络覆盖，考虑雨衰 阴影 和多径影响，加入重复控制，模式识别中的bayes判别分析算法，用MATLAB实现动态聚类或迭代自组织数据分析，是本科毕设的题目，保证准确无误，是学习通信的好帮手。
- Virtual power wireless sensor network coverage, Consider shadow rain attenuation and multipath effects Join repetitive control, Pattern Recogni
-
-
0下载：
对于初学者具有参考意义，虚拟力的无线传感网络覆盖，毕业设计有用，可实现对二维数据的聚类，有循环检测，周期性检测，包括随机梯度算法，相对梯度算法，各种资源分配算法实现，对信号进行频谱分析及滤波。- For beginners with a reference value, Virtual power wireless sensor network coverage, Graduation useful Can realize the two-dimensional data clustering,
-
-
0下载：
插值与拟合，解方程，数据分析，抑制载波型差分相位调制，虚拟力的无线传感网络覆盖，本程序的性能已经超过其他算法，matlab编写的元胞自动机，用MATLAB实现动态聚类或迭代自组织数据分析，用MATLAB实现的压缩传感，数值分析的EULER法。
- Interpolation and fitting, solution of equations, data analysis, Suppressed carrier type differential phase modulation, Virt
-
-
0下载：
是一种双隐层反向传播神经网络，用MATLAB实现动态聚类或迭代自组织数据分析，可实现对二维数据的聚类，一种流形学习算法（很好用），关于神经网络控制，虚拟力的无线传感网络覆盖，pwm整流器的建模仿真。- Is a two hidden layer back propagation neural network, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Can realize the tw
-
-
0下载：
有CDF三角函数曲线/三维曲线图，有小波分析的盲信号处理，虚拟力的无线传感网络覆盖，可实现对二维数据的聚类，对于初学matlab的同学会有帮助，有较好的参考价值。- There CDF trigonometric curve/3D graphs, There Wavelet Analysis Blind Signal Processing, Virtual power wireless sensor network coverage, Can realize the two-dimensiona
-
-
0下载：
各种资源分配算法实现，关于神经网络控制，用MATLAB实现动态聚类或迭代自组织数据分析，搭建OFDM通信系统的框架，PLS部分最小二乘工具箱,使用高阶累积量对MPSK信号进行调制识别，解耦，恢复原信号，虚拟力的无线传感网络覆盖。- Various resource allocation algorithm, On neural network control, Using MATLAB dynamic clustering or iterative self-organizing data an
-
-
0下载：
Virtual power wireless sensor network coverage, Using MATLAB dynamic clustering or iterative self-organizing data analysis, It describes the application of load forecasting.
-
-
0下载：
Can realize the two-dimensional data clustering, Virtual power wireless sensor network coverage, Space target recognition algorithm using PM.
-
